The NLP Architect requires Python 3.6+ running on a Linux* or UNIX-based OS (like Mac OS). We recommend using the library with Ubuntu 16.04+.

Before installing the library make sure you has the most recent packages listed below:

Ubuntu* 16.04+ or CentOS* 7.4+ Mac OS X* Description
python-pip pip Tool to install Python dependencies
libhdf5-dev h5py Enables loading of hdf5 formats
pkg-config pkg-config Retrieves information about installed libraries


The default installation of NLP Architect use CPU-based binaries of all deep learning frameworks. Intel Optimized MKL-DNN binaries will be installed if a Linux is detected. GPU backend on Linux will install Tensorflow with MKL-DNN and if a GPU is present. See details below for instructions on how to install each backend.


For specific installation of backends of Tensorflow or PyTorch (CPU/MKL/GPU) we recommend installing NLP Architect and then installing the desired package of framework.



Make sure pip and setuptools and venv are up to date before installing.

pip3 install -U pip setuptools venv

We recommend installing NLP Architect in a virtual environment to self-contain the work done using the library.

To create and activate a new virtual environment (or skip this step and use the wizard below):

python3.6 -m venv .nlp_architect_env
source .nlp_architect_env/bin/activate

Quick Install

Select the desired configuration of your system:

Install from
Create virtualenv?
Install in developer mode?

Run the following commands to install NLP Architect:

It is recommended to install NLP Architect in development mode to utilize all its features, examples and solutions.

Install from source

To get started, clone our repository:

git clone
cd nlp-architect

Selecting a backend

NLP Architect supports CPU, GPU and Intel Optimized Tensorflow (MKL-DNN) backends. Users can select the desired backend using a dedicated environment variable (default: CPU). (MKL-DNN and GPU backends are supported only on Linux)



NLP Architect is installed using pip and it is recommended to install in development mode.


pip3 install .

Development mode:

pip3 install -e .

Once installed, the nlp_architect command provides additional options to work with the library, issue nlp_architect -h to see all options.

Updating NLP Architect

Depending of how you installed NLP Architect to update the library:

From source

git pull origin master

Using pip

pip install -U nlp-architect